ERSE Workspace

Hosted by Carolina Parakeet Project
carolinaparakeet/erse

ERSE / Workspace

Ecological Reintroduction Stability Engine. This page now includes a live embedded Streamlit runtime for full local functionality, with static fallback instructions if the local server is offline.

Live ERSE Console

This embed points to your local Streamlit app at http://127.0.0.1:8501. If the console does not load, run the startup command shown below.

runtime offline
Local ERSE server not detected

Start ERSE locally, then refresh this page to use the full tool in-place.

Open Localhost Direct

Core Modules

The interface is split into clean computational surfaces so each phase of the ERSE workflow stays legible rather than hidden behind a single score.

workspace index
Inputs

Spatial Inputs

Load suitability and anthropogenic layers with strict validation checks for reproducible landscape setup.

Dynamics

Hybrid Dynamics

Run ODE-only, ODE+shock, or full hybrid mode with ABM coupling and controlled stochastic processes.

Outputs

Decision Outputs

Extract collapse risk, recovery behavior, identifiability, and sensitivity diagnostics for planning.

Scientific Posture

This workspace is framed as an analysis console, not a narrative microsite. The language and layout stay sparse so the model assumptions remain the center of attention.

interpret carefully
ERSE outputs probabilistic scenarios, not deterministic truth claims. Every run should be interpreted with assumptions, uncertainty ranges, and validation checks in view.
Next Surface

Input Package Workflow

Input bundles, starter configs, and package endpoints for Carolina parakeet runs will be published with the public ERSE release.

ERSE is coming soon

ERSE, the Ecological Reintroduction Stability Engine, is a scientific decision-support workspace for reintroduction planning under uncertainty. It integrates habitat suitability layers, anthropogenic pressure signals, and demographic dynamics to test scenario outcomes before field deployment. The upcoming release will support reproducible run configurations, uncertainty and sensitivity analysis, risk scoring across release sites, and transparent reporting pipelines designed for technical review, conservation planning, and cross-team validation.

Still looking? We're glad you're so eager.